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» A Conditional Random Field Model for Video Super-resolution
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ECCV
2008
Springer
14 years 9 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
ECCV
2008
Springer
14 years 9 months ago
Simultaneous Visual Recognition of Manipulation Actions and Manipulated Objects
Abstract. The visual analysis of human manipulation actions is of interest for e.g. human-robot interaction applications where a robot learns how to perform a task by watching a hu...
Danica Kragic, David Martínez Mercado, Hedv...
ICIP
1998
IEEE
14 years 9 months ago
A Neural Network based Scheme for Unsupervised Video Object Segmentation
In this paper, we proposed a neural network based scheme for performing unsupervised video object segmentation, especially for videophone or videoconferencing applications. The pr...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...
ICPR
2008
IEEE
14 years 8 months ago
Group action recognition in soccer videos
Group action recognition in soccer videos is a challenging problem due to the difficulties of group action representation and camera motion estimation. This paper presents a novel...
Qingdi Wei, Weiming Hu, Xiaoqin Zhang, Yu Kong, Yu...
CVPR
2010
IEEE
14 years 1 months ago
YouTubeCat: Learning to Categorize Wild Web Videos
Automatic categorization of videos in a Web-scale unconstrained collection such as YouTube is a challenging task. A key issue is how to build an effective training set in the pres...
Zheshen Wang, Ming Zhao, Yang Song, Sanjiv Kumar, ...